Latest AI and machine learning research in medicare for healthcare professionals.
BACKGROUND: Current guidelines recommend pancolonic chromoendoscopy (pCE) over white light endoscopy (WLE) alone for colorectal neoplasia (CRN) detection in individuals with inflammatory bowel diseases (IBD). However, these techniques are poorly adopted due to technical and logistical limitations. Artificial intelligence-based computer-aided detection (CADe) is a promising new technology integrate...
BACKGROUND: Limited data exist on predictive models incorporating patient-reported and claims-based measures to identify older adults at risk for opioid use disorder (OUD) or opioid overdose (OD). OBJECTIVES: To develop a predictive model and identify predictors of time to first OUD or OD for older adults. DESIGN: Prognostic study using data from Health and Retirement Study (HRS) participants with...
Hallux valgus (HV) is a complex triplanar deformity of the first ray that has traditionally been evaluated using weightbearing radiographs. However, t...
Continuous monitoring of Arterial Blood Pressure (ABP) in critically ill patients requires invasive arterial catheterization, which carries risks of t...
To co-develop disease-specific patient questions for connective tissue diseases (CTDs), compare patient/rheumatologist ratings of answers from languag...
BACKGROUND: Chiropractic services are well-aligned with the goals of workers' compensation (WC) coverage in returning patients to work timely, safely,...
BACKGROUND: Artificial intelligence (AI) has the potential to transform chest radiography interpretation by enhancing diagnostic accuracy, identifying...
BACKGROUND: Zero-dose (ZD) children remain a critical public health concern, particularly in low- and lower-middle-income countries (LLMICs), where ov...
RATIONALE AND OBJECTIVES: Although artificial intelligence (AI) clinical trials in medical imaging have grown rapidly, peer-reviewed publication outco...
The World Health Organization (WHO) reports that more than one billion people globally suffer from substantial disability. Involving and integrating i...
Single-atom catalysts (SACs) are widely considered for large-scale applications due to their exceptional activity, selectivity, and near-unity atom ec...
Explainable AI (XAI) is increasingly used in clinical machine learning, yet quantitative evaluation of explanation quality is often reported inconsist...
Interatomic potentials which accurately describe long-range electrostatics require atom-centered charges. One such method to determine these atom-cent...
This study aimed to evaluate the clinical safety, informational completeness, and patient-centered language of responses generated by four large langu...
PURPOSE OF REVIEW: While pharmacologic and device therapies have improved heart failure care in recent decades, age-adjusted rehospitalization rates r...
DNA methylation is a key epigenetic modification that regulates gene expression and plays a vital role in cell differentiation, development, and tumor...
DNN decision logic is vulnerable to adversarial attacks, making robustness testing essential for safety-critical intelligent systems. Existing coverag...
Somatic variant discovery in tumors is crucial for clinical analysis, yet most existing methods are designed for short-read sequencing, with few devel...
Recent advances in multimodal large language models (MLLMs) have enabled impressive progress in visual-language reasoning, yet long-video understandin...
BACKGROUND: Artificial intelligence tools such as ChatGPT are increasingly used by the public to seek health-related information. However, the accurac...